bump docs

README.md

@@ -250,7 +250,13 @@ model = client.chat.completions.create(
     ],
 )
 
-assert model.name == "JASON"
+print(model.model_dump_json(indent=2))
+"""
+{
+  "name": "JASON",
+  "age": 25
+}
+"""
 ```
 
 ## [Evals](https://github.com/jxnl/instructor/tree/main/tests/openai/evals)

docs/concepts/caching.md

@@ -33,12 +33,12 @@ def extract(data) -> UserDetail:
 start = time.perf_counter()  # (1)
 model = extract("Extract jason is 25 years old")
 print(f"Time taken: {time.perf_counter() - start}")
-#> Time taken: 0.6282629589550197
+#> Time taken: 0.44677383406087756
 
 start = time.perf_counter()
 model = extract("Extract jason is 25 years old")  # (2)
 print(f"Time taken: {time.perf_counter() - start}")
-#> Time taken: 1.9171275198459625e-06
+#> Time taken: 1.00000761449337e-06
 ```
 
 1. Using `time.perf_counter()` to measure the time taken to run the function is better than using `time.time()` because it's more accurate and less susceptible to system clock changes.

docs/concepts/lists.md

@@ -160,7 +160,7 @@ async def print_iterable_results():
     async for m in model:
         print(m)
         #> name='John Doe' age=30
-        #> name='Jane Smith' age=25
+        #> name='Jane Doe' age=28
 
 
 import asyncio

docs/concepts/maybe.md

@@ -88,7 +88,7 @@ print(user2.model_dump_json(indent=2))
 """
 {
   "result": null,
-  "error": false,
+  "error": true,
   "message": "Unknown user"
 }
 """

docs/concepts/models.md

@@ -151,6 +151,7 @@ class SearchQuery(BaseModel):
     def execute(self):
         print(f"Searching for {self.query} of type {self.query_type}")
         #> Searching for cat of type image
+        return "Results for cat"
 
 
 query = client.chat.completions.create(
@@ -160,6 +161,8 @@ query = client.chat.completions.create(
 )
 
 results = query.execute()
+print(results)
+#> Results for cat
 ```
 
 Now we can call `execute` on our model instance after extracting it from a language model. If you want to see more examples of this checkout our post on [RAG is more than embeddings](../blog/posts/rag-and-beyond.md)

docs/concepts/raw_response.md

@@ -25,7 +25,7 @@ user: UserExtract = client.chat.completions.create(
 print(user._raw_response)
 """
 ChatCompletion(
-    id='chatcmpl-8oz1eZxBVDCUZu7Q247DenDK8T3ji',
+    id='chatcmpl-8p1AMuoml2bkdXK4284rbPmNRNNwF',
     choices=[
         Choice(
             finish_reason='stop',
@@ -42,7 +42,7 @@ ChatCompletion(
             ),
         )
     ],
-    created=1707161674,
+    created=1707169902,
     model='gpt-3.5-turbo-0613',
     object='chat.completion',
     system_fingerprint=None,

docs/concepts/reask_validation.md

@@ -169,7 +169,7 @@ model = client.chat.completions.create(
 print(model.model_dump_json(indent=2))
 """
 {
-  "name": "jason",
+  "name": "Jason",
   "age": 25
 }
 """

docs/index.md

@@ -120,7 +120,7 @@ print(response.model_dump_json(indent=2))
     print(user._raw_response.model_dump_json(indent=2))
     """
     {
-      "id": "chatcmpl-8oz12FZ9fvCypa8yNuKbHXueJQkOv",
+      "id": "chatcmpl-8p19pXZ5BIqGtaPhVLo184UuQNH3v",
       "choices": [
         {
           "finish_reason": "stop",
@@ -137,7 +137,7 @@ print(response.model_dump_json(indent=2))
           }
         }
       ],
-      "created": 1707161636,
+      "created": 1707169869,
       "model": "gpt-3.5-turbo-0613",
       "object": "chat.completion",
       "system_fingerprint": null,